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Performance of neural networks can be significantly improved by encoding known invariance for particular tasks.
Layered neural nets for pattern recognition
Bernard Widrow, Rodney G Winter, and Robert A Baxter · 1988
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Generalization and network design strategies
Yann LeCun et al · 1989
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Classification of invariant image representations using a neural network
Alireza Khotanzad and J-H Lu · 1990
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Rotation-invariant neural pattern recognition system estimating a rotation angle
Minoru Fukumi, Sigeru Omatu, and Yoshikazu Nishikawa · 1997
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Rotation invariant neural network-based face detection
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A neural network classifier capable of recognizing the patterns of all major subcellular structures in fluorescence microscope images of hela cells
Michael V Boland and Robert F Murphy · 2001
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Rotation invariant texture characterization and retrieval using steerable wavelet-domain hidden markov models
Minh N Do and Martin Vetterli · 2002
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Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
Timo Ojala, Matti Pietikainen, and Topi Maenpaa · 2002
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Wavelet-based rotational invariant roughness features for texture classification and segmentation
Dimitrios Charalampidis and Takis Kasparis · 2002
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Rotation-invariant multiresolution texture analysis using radon and wavelet transforms
Kourosh Jafari-Khouzani and Hamid Soltanian-Zadeh · 2005
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An empirical evaluation of deep architectures on problems with many factors of variation
Hugo Larochelle, Dumitru Erhan, Aaron Courville, James Bergstra, and Yoshua Bengio · 2007
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Automated learning of generative models for subcellular location: building blocks for systems biology
Ting Zhao and Robert F Murphy · 2007
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Judice L. Y. Koh, Yolanda T. Chong, Helena Friesen, Alan Moses, Charles Boone, Brenda J. Andrews, and Jason Moffat · 2015
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Learning rotation-invariant convolutional neural networks for object detection in vhr optical remote sensing images
Gong Cheng, Peicheng Zhou, and Junwei Han · 2016
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Exploiting cyclic symmetry in convolutional neural networks
Sander Dieleman, Jeffrey De Fauw, and Koray Kavukcuoglu · 2016
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Group equivariant convolutional networks
Taco Cohen and Max Welling · 2016
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Deformable convolutional networks
Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, and Yichen Wei · 2017
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Spatial transformer networks
Max Jaderberg, Karen Simonyan, Andrew Zisserman, et al · 2015
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Yeast proteome dynamics from single cell imaging and automated analysis
Yolanda T Chong, Judice LY Koh, Helena Friesen, Supipi Kaluarachchi Duffy, Michael J Cox, Alan Moses, Jason Moffat, Charles Boone, and Brenda J Andrews · 2015
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Harmonic networks: Deep translation and rotation equivariance
Daniel E Worrall, Stephan J Garbin, Daniyar Turmukhambetov, and Gabriel J Brostow · 2017
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Automated analysis of high-content microscopy data with deep learning
Oren Z Kraus, Ben T Grys, Jimmy Ba, Yolanda Chong, Brendan J Frey, Charles Boone, and Brenda J Andrews · 2017
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